Results 251 to 260 of about 13,654 (302)

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Humidity may amplify the temperature-related health risks in the context of climate change. [PDF]

Sci Rep
He Y, Dong W, Zhao L, Wang H, Cai W, Liu Z, Lin H, Ma W, Huang C.   +8 more
europepmc   +1 more source

A Systematic Benchmark Study of Free Energy Methods for Quantifying Light-Responsive Binding Affinities of Photoswitchable Antagonists of Beta-Adrenergic Receptors. [PDF]

J Med Chem
Khavani M, Bakhtiiari A, Khalvati L, Leurs R, Liang R.   +4 more
europepmc   +1 more source

Study the behaviour of Ti-Mo-xZr alloys during thermomechanical treatment. [PDF]

Sci Rep
Keshtta A, Aly HA, ELnaser GA, Elsarag T, Abdou S, Awad AH.   +5 more
europepmc   +1 more source

PFAS exposure and reproductive dysfunction: implications for outcomes in assisted reproductive technologies. [PDF]

Front Endocrinol (Lausanne)
Shu X, Zhou WJ, Zhang T, Ye JF, Zhao YJ, Gu CJ, Yu YY, Li MQ.   +7 more
europepmc   +1 more source

In Silico Profiling of Phytochemicals for Modulating Amyloid Beta-Mediated Immune Regulation and Neuroinflammation in Alzheimer's Disease. [PDF]

ACS Omega
Kalidass B, Kodiveri Muthukaliannan G.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Estimation of parameters in the fractional compound Poisson process

Communications in Nonlinear Science and Numerical Simulation, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dehui Wang, Fukang Zhu
exaly   +2 more sources

Exit problems for the difference of a compound Poisson process and a compound renewal process

Queueing Systems, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kadankova, Tetyana, Kadankov, Victor
openaire   +4 more sources

The Poisson Process, Compound Poisson Process, and Poisson Random Field

2021
Poisson processes broadly refer to stochastic processes that are the result of counting occurrences of some random phenomena (points) in time or space such that occurrences of points in disjoint regions are statistically independent, and counts of two or more occurrences in an infinitesimally small region are negligible.
Rabi Bhattacharya, Edward C. Waymire
openaire   +1 more source

COMPARISON OF APPROXIMATIONS FOR COMPOUND POISSON PROCESSES

ASTIN Bulletin, 2015
AbstractIn this paper, we compare the error in several approximation methods for the cumulative aggregate claim distribution customarily used in the collective model of insurance theory. In this model, it is usually supposed that a portfolio is at risk for a time period of length t.
Choirat, C., SERI, RAFFAELLO
openaire   +3 more sources